Xiaokai Chu

Orcid: 0000-0001-7407-2005

According to our database1, Xiaokai Chu authored at least 13 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Pre-trained Language Model-based Retrieval and Ranking for Web Search.
ACM Trans. Web, February, 2023

2022
Whole Page Unbiased Learning to Rank.
CoRR, 2022

FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Large Scale Search Dataset for Unbiased Learning to Rank.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Few-shot Learning for Trajectory-based Mobile Game Cheating Detection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
A new dominance relation based on convergence indicators and niching for many-objective optimization.
Appl. Intell., 2021

Variational Cross-Network Embedding for Anonymized User Identity Linkage.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Cross-Network Embedding for Multi-Network Alignment.
Proceedings of the World Wide Web Conference, 2019

Noise-Aware Network Embedding for Multiplex Network.
Proceedings of the International Joint Conference on Neural Networks, 2019


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